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5G Mobile Cellular Networks: Enabling Distributed State Estimation for\n Smart Grids

2017/03/01 by Mirsad Ćosović, Cosovic, Mirsad, Achilleas Tsitsimelis +7 · 2 citations
Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols #IoT and Edge/Fog Computing #Smart Grid Security and Resilience

paper · pdf · doi:10.48550/arxiv.1703.00178

openalex publication_date 2017/03/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

With transition towards 5G, mobile cellular networks are evolving into a\npowerful platform for ubiquitous large-scale information acquisition,\ncommunication, storage and processing. 5G will provide suitable services for\nmission-critical and real-time applications such as the ones envisioned in\nfuture Smart Grids. In this work, we show how emerging 5G mobile cellular\nnetwork, with its evolution of Machine-Type Communications and the concept of\nMobile Edge Computing, provides an adequate environment for distributed\nmonitoring and control tasks in Smart Grids. In particular, we present in\ndetail how Smart Grids could benefit from advanced distributed State Estimation\nmethods placed within 5G environment. We present an overview of emerging\ndistributed State Estimation solutions, focusing on those based on distributed\noptimization and probabilistic graphical models, and investigate their\nintegration as part of the future 5G Smart Grid services.\n

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